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in CFD software tools such as Ansys Fluent and CFX and with experience in coding using MATLAB, Python, and User-Defined Functions (UDFs). Strong technical communication skills. At Level B
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management and storage in line with Good Clinical Practice ensuring integrity in research databases, quality control and ethical standards. Align with and actively demonstrate the Code of Conduct and Values
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histomorphological techniques is desirable. Experience using image analysis software, such as FIJI/ImageJ is desirable. The successful candidate may be required to complete a number of pre-employment checks, including
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expertise in digital imaging technologies and data-driven research solutions. Apply for and manage competitive research funding, including joint projects with colleagues. Supervise and mentor Honours and
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experience with coding digital tasks for measuring cognitive performance in children and/or adults. A strong early career publication record in reputed refereed journals. Evidence of successfully obtaining
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experience. Strong coding skills in commonly used scientific languages (e.g. Python, Matlab, shell script, C) Demonstrated experience in performing simulations at the atomic-scale, including density functional
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developing and implementing algorithms for processing, imaging or inversion of seismic data, preferably using MATLAB and/or Python. Experience or demonstrated ability in processing and analysis of surface
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.) or similar unsupervised data modelling techniques. A strong practice of maintaining an open-source code repository. A solid theoretical background in semiconductor device physics or substantial practical
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or related discipline area. Experience and skills in coding and running analyses in R, and quantitative modelling to address scientific questions in evolution. Broad background knowledge of vertebrate
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bodies, industry, government departments, and the community as appropriate for this role. Uphold high professional standards in accordance with the University’s Code of Conduct. Research Conduct high